Table 1 Performance comparison of different classification models.
From: A prediction method for radiation proctitis based on SAM-Med2D model
Model | Accuracy (95% CI) | Precision (95% CI) | Recall (95% CI) | F1 score (95% CI) | AUC (95% CI) |
|---|---|---|---|---|---|
Logistic regression | 0.77 (0.70 to 0.86) | 0.78 (0.67 to 0.91) | 0.94 (0.84 to 1.00) | 0.85 (0.80 to 0.92) | 0.73 (0.67 to 0.83) |
Random forest | 0.73 (0.61 to 0.89) | 0.73 (0.61 to 0.88) | 0.98 (0.95 to 1.00) | 0.84 (0.76 to 0.94) | 0.69 (0.61 to 0.80) |
GuassianNB | 0.69 (0.64 to 0.79) | 0.75 (0.66 to 0.87) | 0.84 (0.76 to 0.90) | 0.80 (0.74 to 0.87) | 0.63 (0.48 to 0.75) |
